Superior Machine Learning Method for breast cancer cell lines identification

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dc.contributor.authorFAROOQ, SAJIDpt_BR
dc.contributor.authorCARAMEL-JUVINO, AMANDApt_BR
dc.contributor.authorDEL-VALLE, MATHEUSpt_BR
dc.contributor.authorSANTOS, SOFIApt_BR
dc.contributor.authorBERNARDES, EMERSON S.pt_BR
dc.contributor.authorZEZELL, DENISE M.pt_BR
dc.coverageInternacionalpt_BR
dc.creator.eventoSBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCEpt_BR
dc.date.accessioned2023-01-26T15:47:00Z
dc.date.available2023-01-26T15:47:00Z
dc.date.eventoOctober 13-15, 2022pt_BR
dc.description.abstractWe propose an artificial intelligence platform based on machine learning (ML) algorithm using Neighborhood Component analysis and K-Nearest Neighbors for breast cancer cell lines recognition. Our model presents up to 97% accuracy for identification of breast cancer cell lines.pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorshipIDFAPESP: 17/50332-0pt_BR
dc.description.sponsorshipIDCNPq: INCT-465763/2014-6; PQ-31451712021-9; 142229/2019-9pt_BR
dc.event.siglaSBFOTON IOPCpt_BR
dc.identifier.citationFAROOQ, SAJID; CARAMEL-JUVINO, AMANDA; DEL-VALLE, MATHEUS; SANTOS, SOFIA; BERNARDES, EMERSON S.; ZEZELL, DENISE M. Superior Machine Learning Method for breast cancer cell lines identification. In: SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE, October 13-15, 2022, Recife, PE. <b>Proceedings...</b> Piscataway, NJ, USA: IEEE, 2022. DOI: <a href="https://dx.doi.org/10.1109/SBFotonIOPC54450.2022.9992467">10.1109/SBFotonIOPC54450.2022.9992467</a>. Disponível em: http://repositorio.ipen.br/handle/123456789/33669.
dc.identifier.doi10.1109/SBFotonIOPC54450.2022.9992467pt_BR
dc.identifier.orcid0000-0001-7404-9606pt_BR
dc.identifier.orcid0000-0002-0029-7313pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-0029-7313
dc.identifier.orcidhttps://orcid.org/0000-0001-7404-9606
dc.identifier.urihttp://repositorio.ipen.br/handle/123456789/33669
dc.localPiscataway, NJ, USApt_BR
dc.local.eventoRecife, PEpt_BR
dc.publisherIEEEpt_BR
dc.rightsopenAccesspt_BR
dc.subjectneoplasms
dc.subjectmammary glands
dc.subjecttumor cells
dc.subjectmachine learning
dc.subjectartificial intelligence
dc.subjectaccuracy
dc.subjectidentification systems
dc.titleSuperior Machine Learning Method for breast cancer cell lines identificationpt_BR
dc.typeTexto completo de eventopt_BR
dspace.entity.typePublication
ipen.autorSAJID FAROOQ
ipen.autorMATHEUS DEL VALLE
ipen.autorEMERSON SOARES BERNARDES
ipen.autorDENISE MARIA ZEZELL
ipen.autorSOFIA NASCIMENTO DOS SANTOS
ipen.autorAMANDA CARAMEL JUVINO
ipen.codigoautor15722
ipen.codigoautor15209
ipen.codigoautor12099
ipen.codigoautor693
ipen.codigoautor14464
ipen.codigoautor15033
ipen.contributor.ipenauthorSAJID FAROOQ
ipen.contributor.ipenauthorMATHEUS DEL VALLE
ipen.contributor.ipenauthorEMERSON SOARES BERNARDES
ipen.contributor.ipenauthorDENISE MARIA ZEZELL
ipen.contributor.ipenauthorSOFIA NASCIMENTO DOS SANTOS
ipen.contributor.ipenauthorAMANDA CARAMEL JUVINO
ipen.date.recebimento23-01
ipen.event.datapadronizada2022pt_BR
ipen.identifier.ipendoc29303pt_BR
ipen.identifier.ods3
ipen.notas.internasProceedingspt_BR
ipen.type.genreArtigo
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relation.isAuthorOfPublication.latestForDiscovery60d3fba4-40e1-482c-9eda-4530bc63fecb
sigepi.autor.atividadeZEZELL, DENISE M.:693:920:Npt_BR
sigepi.autor.atividadeBERNARDES, EMERSON S.:12099:110:Npt_BR
sigepi.autor.atividadeSANTOS, SOFIA:14464:110:Npt_BR
sigepi.autor.atividadeDEL-VALLE, MATHEUS:15209:920:Npt_BR
sigepi.autor.atividadeCARAMEL-JUVINO, AMANDA:15033:920:Npt_BR
sigepi.autor.atividadeFAROOQ, SAJID:15722:920:Spt_BR
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